This project focuses on developing a low-cost bimodal biometric system, which authenticates a user based on their fingerprint and finger-vein pattern.
The system provides optimum biometric security performance by implementing vein feature extraction, normalized cross correlation, fingerprint minutiae feature-based matching, and a high-performance machine learning prediction model for authenticaton. |
NAVIGATE
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